Power BI Analysis Report — Generated March 08, 2026
Power BI Analysis Report — Generated March 08, 2026
The data covers the full scope of Autotask PSA records relevant to this analysis, broken down by the key dimensions your team needs for day-to-day decisions and client reporting.
Who should use this: Account managers, MSP owners, and service delivery leads
How often: Monthly for client reviews, quarterly for QBRs, on-demand when client signals change
Power BI Analysis Report — Generated March 08, 2026
Data extracted from the Proxuma Demo dataset for client reports overview analysis.
| Company | Tickets |
|---|---|
| Wilson-Murphy | 1,002 |
| Burke, Armstrong and Morgan | 1,629 |
| Lopez-Reyes | 1,317 |
| Ford, Mclean and Robinson | 1,684 |
| Lewis LLC | 1,758 |
| Thompson, Contreras and Rios | 1,803 |
| Stephens-Martinez | 1,481 |
| Rivers, Rogers and Mitchell | 6,381 |
| Blanchard-Glenn | 2,364 |
| Martin Group | 2,775 |
| Price-Gomez | 2,180 |
| Little Group | 5,290 |
| Wall PLC | 2,376 |
| Craig-Huynh | 5,458 |
| Ramos Group | 1,728 |
EVALUATE TOPN(15, SUMMARIZECOLUMNS('BI_Autotask_Tickets'[company_name], "Tickets", COUNTROWS('BI_Autotask_Tickets')), [Tickets], DESC)
Data extracted from the Proxuma Demo dataset for client reports overview analysis.
| Company | Hours |
|---|---|
| Richards, Bell and Christensen | 782.4 |
| Wu-Jackson | 962.0 |
| Price-Gomez | 864.9 |
| Martin Group | 2,217.0 |
| Thompson, Contreras and Rios | 1,006.1 |
| Doyle-Contreras | 961.9 |
| Clements, Pham and Garcia | 866.3 |
| - | 7,264.2 |
| Lewis LLC | 2,801.1 |
| Little Group | 3,791.4 |
| Craig-Huynh | 4,370.4 |
| Rivers, Rogers and Mitchell | 1,661.8 |
| Burke, Armstrong and Morgan | 1,312.3 |
| Wall PLC | 1,696.9 |
| Ramos Group | 1,170.6 |
EVALUATE TOPN(15, SUMMARIZECOLUMNS('BI_Autotask_Companies'[company_name], "Hours", SUM('BI_Autotask_Time_Entries'[hours_worked])), [Hours], DESC)
Data extracted from the Proxuma Demo dataset for client reports overview analysis.
| Metric | Value |
|---|---|
| Total Companies | 550 |
| Active | 531 |
| With Contracts | 283 |
| With Tickets | 265 |
| Revenue | $17,606,769 |
EVALUATE ROW("TotalCompanies", COUNTROWS('BI_Autotask_Companies'), "ActiveCompanies", CALCULATE(COUNTROWS('BI_Autotask_Companies'), 'BI_Autotask_Companies'[status]), "WithContracts", DISTINCTCOUNT('BI_Autotask_Contracts'[company_id]), "WithTickets", DISTINCTCOUNT('BI_Autotask_Tickets'[company_id]), "TotalRevenue", SUM('BI_Autotask_Billing_Items'[total_amount]))
This report provides automated visibility into client reports overview, replacing manual spreadsheet analysis with live Power BI data.
Schedule a recurring review of client reports overview metrics to catch trends before they become problems.
Use these insights to make data-driven decisions about client reports overview improvements in your MSP operations.
This report pulls data from PSA through the Proxuma Power BI integration, using DAX queries against the live data model.
The underlying Power BI dataset refreshes daily. Reports can be regenerated at any time for the latest figures.
Yes. Proxuma reports are fully customizable. You can modify the DAX queries, add new sections, or adjust the analysis to match your specific MSP needs.
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